Triple

T22467256
Position Surface form Disambiguated ID Type / Status
Subject Padang Bai port E555386 entity
Predicate regionServed P82 FINISHED
Object Gili Air NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gili Air | Statement: [Padang Bai port, regionServed, Gili Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gili Air
Context triple: [Padang Bai port, regionServed, Gili Air]
  • A. Gili Air chosen
    Gili Air is a small Indonesian island near Lombok known for its laid-back atmosphere, coral reefs, and popular snorkeling and diving spots.
  • B. Belau Air
    Belau Air is a small regional airline based in Palau that operates domestic and nearby international flights, primarily serving local island communities.
  • C. Garuda Indonesia
    Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
  • D. Sriwijaya Air
    Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
  • E. Mandala Airlines
    Mandala Airlines was an Indonesian airline that operated domestic and regional flights before ceasing operations in the early 2010s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b84e4a88190b6fbfdbd754ba1c5 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.